Java Developer Spring Boot
Resume:
Guntupalli Naga Srija
**********@*****.***
PROFESSIONAL SUMMARY
Seasoned Java Developer up to 6 years of experience building scalable, secure APIs and microservices in finance and technology. Proficient in Java, Spring Boot, multi-threading, and test-driven development using JUnit, with a solid track record in implementing CI/CD practices. Demonstrated success in optimizing data pipelines and integrating RESTful services to enhance cloud-native application performance.
TECHNICAL SKILLS
• Languages/API: Java 17/21, SQL, PL/SQL, Python, HTML, JavaScript, C
• Java/J2EE Technologies: Servlets, JSP, JDBC, JNDI, ORM
• Web Technologies: HTML, CSS, XML, Node.js, React, Bootstrap
• Frameworks: Spring Boot, Spring MVC, Spring Security, Hibernate
• Databases: Oracle, SQL Server, MongoDB, DynamoDB
• Methodologies: Agile, Scrum, SDLC, OOAD, TDD
• Testing: BDD, Cucumber, Mockito, Junit
• Web Services: RESTful, SOAP
• Cloud Environments: AWS, GCP, Azure
• Tools: Git, Jenkins, Docker, Kubernetes, JIRA, ELK Stack, Splunk
PROFESSIONAL EXPERIENCE
Hexaware Technologies - Citi Bank Aug 2024 - Present
Senior Software Developer
•Engineered scalable microservices for a cloud-based wealth management platform using Java and Spring Boot to support secure and efficient backend operations.
•Supported Personal Wealth and Banking Organization (PWBO) initiatives by collaborating with Lending and Rewards teams to enhance branded card products for enterprise clients including American Airlines, Costco, and Alkami.
•Developed RESTful APIs with integrated Swagger documentation to promote robust service interconnectivity and maintain adherence to contract specifications.
•Orchestrated containerized deployments on OpenShift using Helm charts, ensuring smooth operation of microservices across dynamic environments.
•Developed and maintained custom Splunk dashboards, alerts, and reports to monitor critical application and infrastructure metrics.
•Implemented circuit breaker pattern using Resilience4j/Hystrix to handle downstream service failures gracefully in microservices architecture.
•Configured timeout thresholds, failure rate, and wait durations to protect critical services from cascading failures.
•Administered OpenShift configurations including Routes, Secrets, Config Maps, and Health Checks to sustain platform reliability.
•Implemented Kafka producers and consumers to enable real-time streaming of card transaction events and customer interactions, enhancing asynchronous communication between systems.
•Implemented BDD test automation using Cucumber/Gherkin syntax to define functional acceptance criteria aligned with business requirements.
•Integrated Kafka topics with backend services to decouple processes, promoting scalability and improved data flow.
•Authored BDD scripts using Cucumber with Gherkin-based acceptance criteria to support test-driven development practices and automated regression testing.
•Collaborated with QA teams to ensure rigorous functional and regression testing of backend services and API endpoints.
•Utilized Postman and Swagger UI to validate REST endpoints while maintaining compliance with contract requirements.
•Resolved production incidents and managed high-severity issues with prompt and effective troubleshooting strategies.
•Streamlined CI/CD pipelines using Jenkins, Git, and container orchestration tools to deliver seamless integrations and zero-downtime deployments.
Idol Soft Inc - Discover Financial Sep 2023 - Jul 2024
Software Developer
•Designed and deployed robust Spring Boot and GraphQL services that reduced API response time by 40%, showcasing proficiency in backend application development.
•Mentored junior developers to foster innovation and cultivate a cooperative team environment in line with Agile methodologies.
•Contributed to the architectural transition from monolithic systems to microservices, enhancing overall application agility and scalability.
•Developed a ChatGPT-style application using Llamalndex and GCP, reducing internal information retrieval time by 70% for customer support teams while upholding test-driven development practices.
•Developed and maintained RESTful APIs using Java 17 and Spring Boot.
•Developed step definitions and reusable helper functions in Java to support BDD test scenarios for microservices.
•Implemented microservices architecture for scalable applications.
•Integrated Spring Security with JWT authentication for secure APIs.
•Optimized application performance using caching (Redis) and database indexing.
•Wrote unit tests with JUnit and Mockito to ensure code reliability.
•Used Postman and RestAssured for API testing.
•Deployed applications on AWS ECS with Docker and Terraform.
Amazon Jun 2022 - Aug 2023
Software Development Engineer
•Integrated Llamalndex (GPT Index) for efficient querying and interaction with large language models (LLMs), enabling dynamic conversational abilities for business use cases.
•Developed backend services in Spring Boot and Spring Cloud, incorporating RESTful APIs to facilitate interaction between the application and internal data systems.
•Implemented Google Cloud Functions for scalable, serverless execution of tasks, automating processes such as data retrieval and document parsing.
•Designed and managed Pub/Sub events to handle asynchronous communication between various microservices and the AI model, ensuring real-time information delivery.
•Tested AI workflows and API integrations using JUnit, Mockito, and WireMock, ensuring the robustness and reliability of the system.
•Developed and maintained RESTful APIs using Java 17 and Spring Boot.
•Implemented microservices architecture for scalable applications.
•Integrated Spring Security with JWT authentication for secure APIs.
•Optimized application performance using caching (Redis) and database indexing.
•Wrote unit tests with JUnit and Mockito to ensure code reliability.
•Used Postman and RestAssured for API testing.
•Deployed applications on AWS ECS with Docker and Terraform.
•Led the end-to-end design and development of scalable microservices to automate critical AWS Data Center operations, significantly improving system performance and reducing manual overhead.
•Engineered cloud-native solutions by integrating core AWS services such as Lambda, DynamoDB, S3, and CloudWatch, ensuring high availability, fault tolerance, and cost efficiency.
•Built and optimized data processing pipelines to support large-scale, real-time data ingestion and transformation across global data center assets.
•Developed and consumed GraphQL APIs to efficiently handle complex queries over structured and semi-structured datasets, improving API response time and accuracy for internal tools.
•Actively collaborated with cross-functional stakeholders including product managers, SREs, and DevOps engineers to deliver robust, production-grade features aligned with operational goals.
•Contributed to continuous improvement efforts through code reviews, test automation, and documentation, maintaining high standards of quality and reliability in distributed systems.
ADP
ETL Developer & Java Developer
•Designed and implemented ETL processes using tools such as Informatica and Talend to extract, transform, and load data efficiently across multiple systems.
•Utilized Java for data manipulation and integration, enhancing the functionality and performance of ETL workflows.
•Developed RESTful web services using Java and Spring Boot for seamless integration between microservices and external systems.
•Built robust batch processing pipelines using Spring Batch to handle large-scale data transformation tasks.
•Implemented multithreading and concurrency in Java to improve performance in high-volume data applications.
•Integrated ETL pipelines with cloud storage solutions like Amazon S3 and Google Cloud Storage for scalable data staging and archival.
•Deployed Java applications using AWS EC2, ECS, and Lambda, optimizing for scalability and cost-efficiency.
•Provisioned and managed infrastructure with Terraform, enabling infrastructure-as-code practices.
•Utilized Amazon RDS and Google Cloud SQL to manage cloud-based relational databases with high availability and backup strategies.
•Implemented data quality checks and validation processes to ensure data integrity across the ETL lifecycle.
•Secured APIs using OAuth 2.0, JWT tokens, and API Gateway for authentication and authorization.
•Used CloudWatch, Stackdriver, and the ELK Stack for centralized logging, monitoring, and issue resolution.
EDUCATION
University of North Texas
May 2022
Master of Science, Computer and Information Sciences
B.V. Raju Institute of Technology
Jun 2018
Bachelor of Science, Computer Science and Engineering
Sep 2018 - Dec 2020
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